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Algorithm Research & Explore
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764-769

Node importance evaluation algorithm based on gravity model and relative path number

Li Qiuhui
Han Hua
Ma Yuanyuan
Zeng Xi
Li Qiaoli
School of Science, Wuhan University of Technology, Wuhan 430070, China

Abstract

Accurately measuring the importance of nodes in complex networks has important guiding significance for the study of network structure and functions. Most existing node importance evaluation algorithms consider the relevant information of the node and its neighbor nodes, but ignore the influence of the topological structure between nodes on the importance of the node. To solve this problem, this paper proposed a node importance evaluation algorithm based on gravity model and relative path number. The algorithm firstly analyzed the effect of the relative shortest path number on the information dissemination between nodes, and considered the influence of factors such as non-shortest path and path distance, then defined the node importance by the sum of the interaction force between the neighbor node and the center node in the third-order range, and finally simulated it in six real networks. Experimental results show that the proposed algorithm can not only effectively distinguish the importance of different nodes in the network, but also accurately measure the importance of network nodes.

Foundation Support

国家自然科学基金资助项目(11601402)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0389
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 764-769
Serial Number: 1001-3695(2022)03-020-0764-06

Publish History

[2021-11-30] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

李秋晖, 韩华, 马媛媛, 等. 基于引力模型及相对路径数的节点重要度评估算法 [J]. 计算机应用研究, 2022, 39 (3): 764-769. (Li Qiuhui, Han Hua, Ma Yuanyuan, et al. Node importance evaluation algorithm based on gravity model and relative path number [J]. Application Research of Computers, 2022, 39 (3): 764-769. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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